Preprints
https://doi.org/10.5194/egusphere-2026-5932
https://doi.org/10.5194/egusphere-2026-5932
14 Oct 2026
 | 14 Oct 2026
Status: this preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).

Regime-dependent impacts of aerosol vertical placement on liquid water path adjustment in southeastern Atlantic marine boundary layer clouds

Xiaojian Zheng, Yan Feng, David Painemal, Shaocheng Xie, Zhujun Li, and Yuan Wang

Abstract. The adjustment of cloud liquid water path (LWP) to droplet number concentration (Nd) remains a leading uncertainty in the aerosol-induced cloud radiative effect. We combine nine years (2006–2014) of collocated, vertically resolved CALIOP aerosol extinction and MODIS cloud retrievals over the southeastern Atlantic around Ascension Island, and partition the meteorology into three weather regimes (weakened-high, background, and strengthened-high) with a deep-learning clustering of ERA5 circulation, to quantify the LWP adjustment to droplet concentration (L0) by regime and by aerosol vertical placement relative to the cloud top. In the strengthened-high regime, which encompasses the smoky dry season, increasing separated free-tropospheric aerosol steepens L0 from −0.07 to −0.31, as the shortwave absorption of smoke aerosol enhances the inversion that caps the cloud. This steepening persists despite the moisture co-transported with the plume, which partly offsets the entrainment-driven loss of cloud water. Contacting absorbing aerosol thins the cloud in both the strengthened-high and background regimes, but the LWP–Nd coupling weakens toward zero in the humid background regime. Combining all days without regime distinction weakens both signals. In contrast, the nudged Energy Exascale Earth System Model version 2 (E3SMv2) produces a uniformly positive LWP adjustment to Nd across the regimes and aerosol placements, consistent with a precipitation-suppression response. We suggest that cloud-water adjustments in smoke-topped stratocumulus be quantified by weather regime and with vertically resolved aerosol predictors, and that the rain-mass state and sub-cloud updraft in E3SMv2 be calibrated before the simulated adjustments are used to constrain aerosol forcing.

Competing interests: At least one of the (co-)authors is a member of the editorial board of Atmospheric Chemistry and Physics.

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Xiaojian Zheng, Yan Feng, David Painemal, Shaocheng Xie, Zhujun Li, and Yuan Wang

Status: open (until 25 Nov 2026)

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Xiaojian Zheng, Yan Feng, David Painemal, Shaocheng Xie, Zhujun Li, and Yuan Wang

Data sets

E3SMv2 Nudged Model Simulation over the Southeastern Atlantic Region Xiaojian Zheng, Yan Feng, Shaocheng Xie https://doi.org/10.5281/zenodo.22972647

Model code and software

CLIC: CNN–LSTM–IDEC classifier for meteorological regime identification Xiaojian Zheng https://doi.org/10.5281/zenodo.23008635

Xiaojian Zheng, Yan Feng, David Painemal, Shaocheng Xie, Zhujun Li, and Yuan Wang
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Latest update: 14 Oct 2026
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Short summary
Smoke from African fires often drifts over the cloud deck of the southeastern Atlantic, but how it changes the water in these clouds remains uncertain. Using nine years of satellite data, we sorted days by weather pattern and by whether the smoke sat above or touched the clouds. The cloud-water response depends on both, and averaging over all days hides it. A climate model gives the opposite response, pointing to processes that need improvement in the model.
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